{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "close_data: \n",
      " [ 9.81074796  9.51592053 10.29111052 11.21986653  9.86705473  9.56954723\n",
      "  8.30766403 10.531564   10.03275645  9.46534861]\n",
      "open_data:\n",
      " [ 9.55527025  9.81074796  9.51592053 10.29111052 11.21986653  9.86705473\n",
      "  9.56954723  8.30766403 10.531564   10.03275645]\n",
      "high_data: \n",
      " [ 9.81074796  9.81074796 10.29111052 11.21986653 11.21986653  9.86705473\n",
      "  9.56954723 10.531564   10.531564   10.03275645]\n",
      "low_data: \n",
      " [ 9.55527025  9.51592053  9.51592053 10.29111052  9.86705473  9.56954723\n",
      "  8.30766403  8.30766403 10.03275645  9.46534861]\n",
      "生成日时间序列：\n",
      "DatetimeIndex(['2010-01-01', '2010-01-02', '2010-01-03', '2010-01-04',\n",
      "               '2010-01-05', '2010-01-06', '2010-01-07', '2010-01-08',\n",
      "               '2010-01-09', '2010-01-10',\n",
      "               ...\n",
      "               '2012-09-17', '2012-09-18', '2012-09-19', '2012-09-20',\n",
      "               '2012-09-21', '2012-09-22', '2012-09-23', '2012-09-24',\n",
      "               '2012-09-25', '2012-09-26'],\n",
      "              dtype='datetime64[ns]', length=1000, freq='D')\n",
      "股价行情数据:\n",
      "                 close       open       high        low\n",
      "2010-01-01        NaN        NaN        NaN        NaN\n",
      "2010-01-02   9.515921   9.810748   9.810748   9.515921\n",
      "2010-01-03  10.291111   9.515921  10.291111   9.515921\n",
      "2010-01-04  11.219867  10.291111  11.219867  10.291111\n",
      "2010-01-05   9.867055  11.219867  11.219867   9.867055\n",
      "成交量数据 ：\n",
      "            volume\n",
      "2010-01-01  114426\n",
      "2010-01-02  149409\n",
      "2010-01-03  189184\n",
      "2010-01-04  102169\n",
      "2010-01-05  194087\n",
      "...            ...\n",
      "2012-09-22  133839\n",
      "2012-09-23  156775\n",
      "2012-09-24  126307\n",
      "2012-09-25  122695\n",
      "2012-09-26  196710\n",
      "\n",
      "[1000 rows x 1 columns]\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "#数据，正态分布随机数组-close\n",
    "close_data = np.random.normal(loc = 10.0, scale = 1.0, size = 1000)\n",
    "#打印前10行\n",
    "print(f\"close_data: \\n {format(close_data[0:10])}\")\n",
    "# 把收盘价序列右移1位，将昨日的收盘价模拟作为今日的开盘价\n",
    "open_data = np.roll(close_data,1)\n",
    "# 打印前10行\n",
    "print(f\"open_data:\\n {format(open_data[0:10])}\")\n",
    "#数据data:high low\n",
    "high_data = np.where((open_data > close_data),open_data,close_data)\n",
    "print(f\"high_data: \\n {format(high_data[0:10])}\")\n",
    "\n",
    "low_data = np.where((open_data <= close_data),open_data,close_data)\n",
    "print(f\"low_data: \\n {format(low_data[0:10])}\")\n",
    "\n",
    "open_data[0],close_data[0],high_data[0],low_data[0] = np.nan,np.nan,np.nan,np.nan\n",
    "\n",
    "#行索引index:交易日期\n",
    "date_index = pd.date_range('2010-01-01', freq = 'D', periods = 1000)\n",
    "print(f'生成日时间序列：\\n{date_index}')\n",
    "\n",
    "df_stock = pd.DataFrame({'close': close_data, 'open': open_data, 'high': high_data, 'low':low_data}, index=date_index)\n",
    "print(f'股价行情数据:\\n {df_stock.head()}')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "成交量数据 ：\n",
      "            volume\n",
      "2010-01-01  100553\n",
      "2010-01-02  157607\n",
      "2010-01-03  107560\n",
      "2010-01-04  116591\n",
      "2010-01-05  180138\n",
      "...            ...\n",
      "2012-09-22  134514\n",
      "2012-09-23  178472\n",
      "2012-09-24  183159\n",
      "2012-09-25  135861\n",
      "2012-09-26  136418\n",
      "\n",
      "[1000 rows x 1 columns]\n",
      "                close       open       high       low\n",
      "2012-09-22   9.964957   9.968999   9.968999  9.964957\n",
      "2012-09-23   9.520498   9.964957   9.964957  9.520498\n",
      "2012-09-24   9.471202   9.520498   9.520498  9.471202\n",
      "2012-09-25  10.329730   9.471202  10.329730  9.471202\n",
      "2012-09-26   9.555270  10.329730  10.329730  9.555270\n",
      "Index(['close', 'open', 'high', 'low'], dtype='object')\n",
      "(1000, 4)\n",
      "            close        open        high         low\n",
      "count  999.000000  999.000000  999.000000  999.000000\n",
      "mean     9.959349    9.959605   10.554609    9.364345\n",
      "std      1.006347    1.006277    0.816371    0.806097\n",
      "min      7.292643    7.292643    8.352535    7.292643\n",
      "25%      9.245403    9.245403    9.994457    8.855133\n",
      "50%      9.931782    9.931782   10.551207    9.370611\n",
      "75%     10.631282   10.631282   11.119640    9.898269\n",
      "max     12.620153   12.620153   12.620153   11.940748\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 1000 entries, 2010-01-01 to 2012-09-26\n",
      "Freq: D\n",
      "Data columns (total 4 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   close   999 non-null    float64\n",
      " 1   open    999 non-null    float64\n",
      " 2   high    999 non-null    float64\n",
      " 3   low     999 non-null    float64\n",
      "dtypes: float64(4)\n",
      "memory usage: 39.1 KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "volume_data = np.random.randint(100000, 200000, size=1000)\n",
    "# 生成DateFrame格式的股票成交量数据\n",
    "df_volume = pd.DataFrame({'volume': volume_data}, index = date_index)\n",
    "print(f'成交量数据 ：\\n{df_volume}')\n",
    "\n",
    "print(df_stock.tail())\n",
    "print(df_stock.columns)\n",
    "print(df_stock.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            close        open        high         low\n",
      "count  999.000000  999.000000  999.000000  999.000000\n",
      "mean     9.959349    9.959605   10.554609    9.364345\n",
      "std      1.006347    1.006277    0.816371    0.806097\n",
      "min      7.292643    7.292643    8.352535    7.292643\n",
      "25%      9.245403    9.245403    9.994457    8.855133\n",
      "50%      9.931782    9.931782   10.551207    9.370611\n",
      "75%     10.631282   10.631282   11.119640    9.898269\n",
      "max     12.620153   12.620153   12.620153   11.940748\n",
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 1000 entries, 2010-01-01 to 2012-09-26\n",
      "Freq: D\n",
      "Data columns (total 4 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   close   999 non-null    float64\n",
      " 1   open    999 non-null    float64\n",
      " 2   high    999 non-null    float64\n",
      " 3   low     999 non-null    float64\n",
      "dtypes: float64(4)\n",
      "memory usage: 39.1 KB\n",
      "None\n"
     ]
    }
   ],
   "source": [
    "print(df_stock.describe())\n",
    "print(df_stock.info())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            close   open   high    low\n",
      "2010-01-01   True   True   True   True\n",
      "2010-01-02  False  False  False  False\n",
      "2010-01-03  False  False  False  False\n",
      "2010-01-04  False  False  False  False\n",
      "2010-01-05  False  False  False  False\n",
      "            close   open   high    low\n",
      "2010-01-01  False  False  False  False\n",
      "2010-01-02   True   True   True   True\n",
      "2010-01-03   True   True   True   True\n",
      "2010-01-04   True   True   True   True\n",
      "2010-01-05   True   True   True   True\n",
      "            close  open  high  low\n",
      "2010-01-01    NaN   NaN   NaN  NaN\n",
      "                close       open       high        low\n",
      "2010-01-01  10.725437   9.553990  10.725437   9.553990\n",
      "2010-01-02  10.725437   9.553990  10.725437   9.553990\n",
      "2010-01-03  10.099676  10.725437  10.725437  10.099676\n",
      "2010-01-04  10.409565  10.099676  10.409565  10.099676\n",
      "2010-01-05  11.641290  10.409565  11.641290  10.409565\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "D:\\Users\\yibozhang\\AppData\\Local\\Temp\\ipykernel_71084\\3829297537.py:39: FutureWarning: DataFrame.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n",
      "  df_fillna = df_stock.fillna(method='bfill',axis = 0)\n"
     ]
    }
   ],
   "source": [
    "# 可视化DataFrame数据\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "#数据，正态分布随机数组-close\n",
    "close_data = np.random.normal(loc = 10.0, scale = 1.0, size = 1000)\n",
    "\n",
    "# 把收盘价序列右移1位，将昨日的收盘价模拟作为今日的开盘价\n",
    "open_data = np.roll(close_data,1)\n",
    "\n",
    "#数据data:high low\n",
    "high_data = np.where((open_data > close_data),open_data,close_data)\n",
    "\n",
    "\n",
    "low_data = np.where((open_data <= close_data),open_data,close_data)\n",
    "\n",
    "\n",
    "open_data[0],close_data[0],high_data[0],low_data[0] = np.nan,np.nan,np.nan,np.nan\n",
    "\n",
    "#行索引index:交易日期\n",
    "date_index = pd.date_range('2010-01-01', freq = 'D', periods = 1000)\n",
    "\n",
    "\n",
    "df_stock = pd.DataFrame({'close': close_data, 'open': open_data, 'high': high_data, 'low':low_data}, index=date_index)\n",
    "df_visual = df_stock.loc['2010-01-01':'2012-01-01',['high','low']].plot(linewidth=1 , figsize=(8, 6))\n",
    "df_visual.set_xlabel('Time')\n",
    "df_visual.set_ylabel('High and Low price')\n",
    "df_visual.set_title('From 2010-01-01 to 2012-01-01')\n",
    "df_visual.legend()\n",
    "plt.show()\n",
    "\n",
    "#判断数据缺失值并打印前几行\n",
    "print(df_stock.isnull().head())\n",
    "#判断数据不缺失值并打印前几行\n",
    "print(df_stock.notnull().head())\n",
    "#查看NAN值所在行，T数据转置，any是否每列上包含至少一个为True元素\n",
    "print(df_stock[df_stock.isnull().T.any().T])\n",
    "#填充缺失值\n",
    "df_fillna = df_stock.fillna(method='bfill',axis = 0)\n",
    "print(df_fillna.head())\n",
    "#只要有一个缺失值就删除该行\n",
    "df_stock.dropna(axis=0, how='any',inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "DatetimeIndex: 1000 entries, 2010-01-01 to 2012-09-26\n",
      "Freq: D\n",
      "Data columns (total 4 columns):\n",
      " #   Column  Non-Null Count  Dtype  \n",
      "---  ------  --------------  -----  \n",
      " 0   close   999 non-null    float64\n",
      " 1   open    999 non-null    float64\n",
      " 2   high    999 non-null    float64\n",
      " 3   low     999 non-null    float64\n",
      "dtypes: float64(4)\n",
      "memory usage: 71.4 KB\n",
      "None\n",
      "            close   open   high    low  volume\n",
      "2010-01-01    NaN    NaN    NaN    NaN  109866\n",
      "2010-01-02  10.73   9.55  10.73   9.55  149470\n",
      "2010-01-03  10.10  10.73  10.73  10.10  179163\n",
      "2010-01-04  10.41  10.10  10.41  10.10  148829\n",
      "2010-01-05  11.64  10.41  11.64  10.41  105328\n",
      "            close   open   high    low  volume\n",
      "2010-01-01    NaN    NaN    NaN    NaN  109866\n",
      "2010-01-02  10.73   9.55  10.73   9.55  149470\n",
      "2010-01-03  10.10  10.73  10.73  10.10  179163\n",
      "2010-01-04  10.41  10.10  10.41  10.10  148829\n",
      "2010-01-05  11.64  10.41  11.64  10.41  105328\n",
      "...           ...    ...    ...    ...     ...\n",
      "2012-09-22   8.41   9.92   9.92   8.41  127609\n",
      "2012-09-23   9.59   8.41   9.59   8.41  147188\n",
      "2012-09-24   9.55   9.59   9.59   9.55  165759\n",
      "2012-09-25   9.20   9.55   9.55   9.20  185602\n",
      "2012-09-26  10.44   9.20  10.44   9.20  176761\n",
      "\n",
      "[1000 rows x 5 columns]\n"
     ]
    }
   ],
   "source": [
    "#精度保留2位小数\n",
    "df_stock = df_stock.round(2)\n",
    "print(df_stock.info())\n",
    "\n",
    "volume_data = np.random.randint(100000, 200000, size=1000)\n",
    "# 生成DateFrame格式的股票成交量数据\n",
    "df_volume = pd.DataFrame({'volume': volume_data}, index = date_index)\n",
    "#合并dataFrame\n",
    "df_concat = pd.concat([df_stock, df_volume], axis = 1, join = 'inner')\n",
    "print(df_concat.head())\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "            close   open   high    low  volume\n",
      "2010-01-01    NaN    NaN    NaN    NaN  109866\n",
      "2010-01-02  10.73   9.55  10.73   9.55  149470\n",
      "2010-01-03  10.10  10.73  10.73  10.10  179163\n",
      "2010-01-04  10.41  10.10  10.41  10.10  148829\n",
      "2010-01-05  11.64  10.41  11.64  10.41  105328\n",
      "...           ...    ...    ...    ...     ...\n",
      "2012-09-22   8.41   9.92   9.92   8.41  127609\n",
      "2012-09-23   9.59   8.41   9.59   8.41  147188\n",
      "2012-09-24   9.55   9.59   9.59   9.55  165759\n",
      "2012-09-25   9.20   9.55   9.55   9.20  185602\n",
      "2012-09-26  10.44   9.20  10.44   9.20  176761\n",
      "\n",
      "[1000 rows x 5 columns]\n",
      "            close   open   high    low  volume\n",
      "2010-01-01    NaN    NaN    NaN    NaN  109866\n",
      "2010-01-02  10.73   9.55  10.73   9.55  149470\n",
      "2010-01-03  10.10  10.73  10.73  10.10  179163\n",
      "2010-01-04  10.41  10.10  10.41  10.10  148829\n",
      "2010-01-05  11.64  10.41  11.64  10.41  105328\n",
      "            close   open   high    low  volume  pct_change\n",
      "2010-01-01    NaN    NaN    NaN    NaN  109866         NaN\n",
      "2010-01-02  10.73   9.55  10.73   9.55  149470    0.123560\n",
      "2010-01-03  10.10  10.73  10.73  10.10  179163    0.058714\n",
      "2010-01-04  10.41  10.10  10.41  10.10  148829    0.030693\n",
      "2010-01-05  11.64  10.41  11.64  10.41  105328    0.118156\n"
     ]
    }
   ],
   "source": [
    "df_merge = pd.merge(df_stock, df_volume, left_index=True, right_index=True, how = 'inner')\n",
    "print(df_merge)\n",
    "\n",
    "df_join = df_stock.join(df_volume, how = 'inner')\n",
    "print(df_join.head())\n",
    "\n",
    "#矢量化方式\n",
    "df_concat['pct_change'] = (df_concat['high'].values - df_concat['low'].values) / df_concat['open'].values\n",
    "print(df_concat.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_concat.to_csv('table-stock.csv', columns=df_concat.columns,index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "加载csv数据:\n",
      "             close   open   high    low  volume  pct_change\n",
      "2010-01-01    NaN    NaN    NaN    NaN  109866         NaN\n",
      "2010-01-02  10.73   9.55  10.73   9.55  149470    0.123560\n",
      "2010-01-03  10.10  10.73  10.73  10.10  179163    0.058714\n",
      "2010-01-04  10.41  10.10  10.41  10.10  148829    0.030693\n",
      "2010-01-05  11.64  10.41  11.64  10.41  105328    0.118156\n"
     ]
    }
   ],
   "source": [
    "df_csvload = pd.read_csv('table-stock.csv', parse_dates=True, index_col=0, encoding='gb2312')\n",
    "print(f'加载csv数据:\\n {df_csvload.head()}')"
   ]
  }
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